| Maximum classifier discrepancy for unsupervised domain adaptation K Saito, K Watanabe, Y Ushiku, T Harada Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2373 | 2018 |
| Neural 3d mesh renderer H Kato, Y Ushiku, T Harada Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1205 | 2018 |
| Strong-weak distribution alignment for adaptive object detection K Saito, Y Ushiku, T Harada, K Saenko Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 791 | 2019 |
| Asymmetric Tri-training for Unsupervised Domain Adaptation K Saito, Y Ushiku, T Harada International Conference on Machine Learning, 2988-2997, 2017 | 734 | 2017 |
| Open set domain adaptation by backpropagation K Saito, S Yamamoto, Y Ushiku, T Harada Proceedings of the European conference on computer vision (ECCV), 153-168, 2018 | 627 | 2018 |
| MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes Q Ha, K Watanabe, T Karasawa, Y Ushiku, T Harada 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 518 | 2017 |
| Adversarial Dropout Regularization K Saito, Y Ushiku, T Harada, K Saenko International Conference on Learning Representations, 2017 | 340 | 2017 |
| Learning from Between-class Examples for Deep Sound Recognition Y Tokozume, Y Ushiku, T Harada International Conference on Learning Representations, 2017 | 314 | 2017 |
| Between-class learning for image classification Y Tokozume, Y Ushiku, T Harada Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 264 | 2018 |
| Multispectral object detection for autonomous vehicles K Takumi, K Watanabe, Q Ha, A Tejero-De-Pablos, Y Ushiku, T Harada Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 35-43, 2017 | 182 | 2017 |
| Discriminative spatial pyramid T Harada, Y Ushiku, Y Yamashita, Y Kuniyoshi CVPR 2011, 1617-1624, 2011 | 115 | 2011 |
| Label-noise robust generative adversarial networks T Kaneko, Y Ushiku, T Harada Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 82 | 2019 |
| Pose graph optimization for unsupervised monocular visual odometry Y Li, Y Ushiku, T Harada 2019 International Conference on Robotics and Automation (ICRA), 5439-5445, 2019 | 79 | 2019 |
| Dualnet: Domain-invariant network for visual question answering K Saito, A Shin, Y Ushiku, T Harada 2017 IEEE International Conference on Multimedia and Expo (ICME), 829-834, 2017 | 79 | 2017 |
| Common subspace for model and similarity: Phrase learning for caption generation from images Y Ushiku, M Yamaguchi, Y Mukuta, T Harada Proceedings of the IEEE international conference on computer vision, 2668-2676, 2015 | 74 | 2015 |
| Spatio-temporal person retrieval via natural language queries M Yamaguchi, K Saito, Y Ushiku, T Harada Proceedings of the IEEE international conference on computer vision, 1453-1462, 2017 | 69 | 2017 |
| Hierarchical video generation from orthogonal information: Optical flow and texture K Ohnishi, S Yamamoto, Y Ushiku, T Harada Thirty-Second AAAI Conference on Artificial Intelligence, 2387-2394, 2017 | 60 | 2017 |
| Viewpoint-aware Video Summarization A Kanehira, L Van Gool, Y Ushiku, T Harada Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 51 | 2018 |
| The effect of improving annotation quality on object detection datasets: A preliminary study J Ma, Y Ushiku, M Sagara Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 50 | 2022 |
| Analysis of protein folding simulation with moving root mean square deviation Y Maruyama, R Igarashi, Y Ushiku, A Mitsutake Journal of Chemical Information and Modeling 63 (5), 1529-1541, 2023 | 46 | 2023 |
Tatsuya HaradaThe University of TokyoVerified email at mi.t.u-tokyo.ac.jp
